Data Engineer
3 weeks ago
Lead Data Engineer
JD :
Qualifications
5 to 10 years of hands-on Big Data Engineering experience
Excellent communication and collaboration skills
Demonstrated strong leadership skills in leading a team
Key responsibilities include: ·
Create and maintain data pipelines to transform and load data from data lake into Datawarehouse models
Implement automated Data Quality measures to sieve out bad quality data for timely rectifications by data sources
Design, construct and maintain Data Warehouse models to support data analytics needs.
Create and maintain data science sandbox, machine learning tools, Databricks, data marts, data catalogue, data lineage, etc
Work and collaborate with data analytics team at all stages of CRISP-DM Methodology
Align to SP data policies, standards and market best practices and document as required
Familiarity with PySpark, Python and SQL scripting languages
Adops the ETL(t) concept towards data modelling and data mart provisioning
Understands how Fabric consumes data for visualization and provide the necessary data
Familiarity with the current Azure Data Tech Stack (e.g. SQL Server, Azure Synapse, Azure ML Studio, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Fabric, Purview, IOT Hub etc.)
Familiar with DevOps CI/CD Concepts
Reviews and approves CI/CD pipelines
Provide guidance to junior data engineers
Provides leadership and backlog prioritization for the Data Engineering scrum team
About Encora
Encora is a global company that offers Software and Digital Engineering solutions, with more than 9000 Encorians around the world. Our technology practices include Cloud Services, Product Engineering & Development, Data Modernization & Engineering, Digital Experience, DevSecOps, Cybersecurity, Quality Engineering, Generative AI, among others.
At Encora Inc. we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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